Machine Learning Engineer, CX Intelligence
The Blockchain Association is the collective voice of the crypto industry in the United States. It represents over 100 members from the sector's leading investors, companies, and projects to advocate for a pro-innovation national policy and regulatory framework for the crypto economy.
Funding
Investors
About Blockchain Association
Blockchain Association is the collective voice of the crypto industry in the United States. With over 100 members, including the sector’s leading investors, companies, and projects, it works to support a future-forward, pro-innovation national policy and regulatory framework for the crypto economy. The association's mission is to advance the future of crypto in the U.S. by promoting the potential of blockchain technology and shaping policy that ensures its success.
Skills
About the Role
You'll join the CX Intelligence Engineering team to design and scale agentic systems that automate complex customer support workflows. You'll connect LLMs with internal APIs and tools to deliver fast, accurate, and compliant AI-powered experiences for millions of customers. You'll work with advanced orchestration frameworks, build integrations using Model Context Protocol, develop evaluation pipelines for AI agents, and ship production-ready Python services at Coinbase scale. You'll also partner with Conversation Design and Product teams to translate business logic into executable agent procedures.
Requirements
- 3+ years building and scaling ML/AI systems in production, with demonstrated experience implementing agentic "Loop" or "ReAct" based systems where AI takes actions autonomously
- Deep understanding of the LLM lifecycle including context window management, token optimization, structured output parsing (Pydantic, JSON mode), and multi-agent orchestration frameworks (LangGraph, Google ADK, or similar)
- Strong proficiency in Python with hands-on experience in microservices architecture, asynchronous programming, high-throughput APIs, and vector databases (Pinecone, Weaviate, or equivalent)
- Demonstrated ability to explain model behaviors and technical trade-offs to non-technical stakeholders across CX, Legal, and Product teams
- Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality
Responsibilities
- Architect multi-agent systems using advanced orchestration frameworks (LangGraph, Google ADK) to automate complex customer support procedures end-to-end
- Build and scale integrations using Model Context Protocol (MCP) to connect LLMs with internal Coinbase APIs, databases, and third-party tooling
- Develop automated "LLM-as-a-judge" evaluation pipelines to monitor, measure, and improve the performance of non-deterministic AI agents in production
- Implement RAG, fine-tuning, and prompt engineering techniques to ensure chatbot responses are grounded, accurate, and compliant with Coinbase policies
- Ship production-ready Python services that are resilient, low-latency, and capable of handling Coinbase-scale traffic across asynchronous microservices
- Partner with Conversation Design and Product to translate complex business logic into executable agent procedures within the decentralized architecture
Benefits
- Equity
- Bonus eligibility
- Medical benefits
- Dental benefits
- Vision benefits